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OpenVitals
Your Google Health data, as an MCP server for your AI
OpenVitals turns your Google Health data into ~60 MCP tools any AI can use — Claude, ChatGPT, Cursor, Cline. Ask "how did I sleep this week vs last?" or "am I hitting my protein target?" and get answers from your real heart, sleep, activity, glucose, nutrition and workout data. It's self-hosted: read-only Google scopes via your own free OAuth client, everything in a local SQLite file, nothing uploaded anywhere. Runs on a spare laptop or a Pi. Node 22+, MIT licensed, no subscription.
Hey Product Hunt 👋
I built OpenVitals because I got tired of the idea of paying a subscription to ask an AI about my own health data.
Google Health already has everything — my sleep, resting heart rate, workouts, what I ate. But getting an AI to actually reason over it meant handing it to someone else's paid product, running on someone else's servers. As one person and not a company, that math never worked for me.
So OpenVitals is a self-hosted MCP server. It:
• Reads your Google Health data with read-only scopes, using your own free Google Cloud OAuth client
• Stores it in a SQLite file on your machine — nothing gets uploaded anywhere
• Exposes ~60 tools over MCP, so Claude, ChatGPT, Cursor, Cline — anything that speaks MCP — can query it
Then you just ask: "How did I sleep this week vs last?" · "What's my resting heart rate trend?" · "Log a 5 km run" · "Am I hitting my protein target?"
The whole thing runs on a spare laptop in my apartment. Local MCP clients hit localhost directly; for the ChatGPT or Claude apps, a free ngrok or Cloudflare tunnel gives you an HTTPS URL in one command. It's MIT licensed, and the README walks through the whole setup — Google Cloud secrets, tunneling, and connecting each client.
Two things I'd genuinely love feedback on:
1. What other data sources should this cover? Fitbit, Oura, Whoop, Apple Health — where should I go next?
2. If you run MCP servers at home, how are you handling auth? Right now it's a bearer token, and I'd like something better for people exposing it publicly.
Happy to answer anything about the MCP side, the Google Health API, or running this on a potato laptop. 🩺
About OpenVitals on Product Hunt
“Your Google Health data, as an MCP server for your AI”
OpenVitals was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #150 on the daily leaderboard. OpenVitals turns your Google Health data into ~60 MCP tools any AI can use — Claude, ChatGPT, Cursor, Cline. Ask "how did I sleep this week vs last?" or "am I hitting my protein target?" and get answers from your real heart, sleep, activity, glucose, nutrition and workout data. It's self-hosted: read-only Google scopes via your own free OAuth client, everything in a local SQLite file, nothing uploaded anywhere. Runs on a spare laptop or a Pi. Node 22+, MIT licensed, no subscription.
On the analytics side, OpenVitals competes within Health & Fitness, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how OpenVitals performed against the three products that launched closest to it on the same day.
Who hunted OpenVitals?
OpenVitals was hunted by Venkata sai teja mothukuri. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of OpenVitals including community comment highlights and product details, visit the product overview.
Venkata sai teja mothukuri